Run
555152

Run 555152

Task 10 (Supervised Classification) lymph Uploaded 12-04-2016 by Roy Haanen
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • NumPy_1.10.1. Python_2.7.11. run_task SciPy_0.16.0. sklearn.ensemble.forest.RandomForestClassifier Sklearn_0.17. Tue_Apr_12_15.54.22_2016
Issue #Downvotes for this reason By


Flow

sklearn.ensemble.forest.RandomForestClassifier(8)Flow generated by openml_run
sklearn.ensemble.forest.RandomForestClassifier(8)_warm_startFalse
sklearn.ensemble.forest.RandomForestClassifier(8)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(8)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(8)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(8)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(8)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(8)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(8)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(8)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(8)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(8)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(8)_random_stateNone
sklearn.ensemble.forest.RandomForestClassifier(8)_max_featuresauto
sklearn.ensemble.forest.RandomForestClassifier(8)_max_depthNone
sklearn.ensemble.forest.RandomForestClassifier(8)_class_weightNone

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9063
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8094
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6423
Cross-validation details (10-fold Crossvalidation)
KB relative information score
76.8889
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1365
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2677
Cross-validation details (10-fold Crossvalidation)
Number of instances
148
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8183
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8176
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.8176
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5098
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2557
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7025
Cross-validation details (10-fold Crossvalidation)